Life, Physical, and Social Science · United States (national)
Animal Scientists
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is highly exposed to automation, and the bigger shift looks near-term.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 72.4 to 96.4
Physical / roboticsrange 10.9 to 34.9
When the change is likely
Near-term, highlocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
2
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Pivot toward Microbiologists
It is skill-adjacent and less exposed (37.8 vs 84). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Study nutritional requirements of animals and nutritive values of animal feed materials.
50.0
Write up or orally communicate research findings to the scientific community, producers, and the public.
50.0
Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals.
50.0
Advise producers about improved products and techniques that could enhance their animal production efforts.
50.0
Conduct research concerning animal nutrition, breeding, or management to improve products or processes.
50.0
Study effects of management practices, processing methods, feed, or environmental conditions on quality and quantity of animal products, such as eggs and milk.
50.0
Research and control animal selection and breeding practices to increase production efficiency and improve animal quality.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Study nutritional requirements of animals and nutritive values of animal feed materials.
Task: Write up or orally communicate research findings to the scientific community, producers, and the public.
Lower-risk adjacent roles
Microbiologists
37.8
Biochemists and Biophysicists
44.3
Veterinarians
44.7
Food Scientists and Technologists
50.0
Agricultural Sciences Teachers, Postsecondary
58.9
Soil and Plant Scientists
63.0
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Animal Scientists to its standard O*NET task list (7 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 84.4, robotics 22.9.
The timeline comes from the higher axis (84.4), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.